分层病例队列设计的样本量/效能计算。
Sample size/power calculation for stratified case-cohort design.
作者信息
Hu Wenrong, Cai Jianwen, Zeng Donglin
机构信息
Applied Statistics, Department of Mathematical Sciences, The University of Memphis, Memphis, TN, U.S.A.; Department of Biostatistics, CSL Behring, King of Prussia, PA, U.S.A.
出版信息
Stat Med. 2014 Oct 15;33(23):3973-85. doi: 10.1002/sim.6215. Epub 2014 Jun 2.
The case-cohort (CC) study design usually has been used for risk factor assessment in epidemiologic studies or disease prevention trials for rare diseases. The sample size/power calculation for a stratified CC (SCC) design has not been addressed before. This article derives such result based on a stratified test statistic. Simulation studies show that the proposed test for the SCC design utilizing small sub-cohort sampling fractions is valid and efficient for situations where the disease rate is low. Furthermore, optimization of sampling in the SCC design is discussed and compared with proportional and balanced sampling techniques. An epidemiological study is provided to illustrate the sample size calculation under the SCC design.
病例队列（CC）研究设计通常用于流行病学研究中的风险因素评估或罕见病的疾病预防试验。分层病例队列（SCC）设计的样本量/效能计算此前尚未有过相关探讨。本文基于分层检验统计量得出了这样的结果。模拟研究表明，对于疾病发生率较低的情况，利用小子队列抽样比例的SCC设计所提出的检验是有效且高效的。此外，还讨论了SCC设计中的抽样优化，并与比例抽样和均衡抽样技术进行了比较。提供了一项流行病学研究来说明SCC设计下的样本量计算。
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